本文介绍了如何通过Docker快速构建Elasticsearch+Kibana，方便在本地试用调试ES和Kibana的相关功能。
目录
全部编排文件和配置文件可以访问我的Github，大家只要修改配置文件中的路径即可快速搭建一个3实例的ES集群和一个Kibana实例。
规划
计划创建3个ES实例组成一个集群，同时创建一个Kibana实例连接该集群。每个ES实例使用本地配置文件，方便配置文件的保存和版本管理。Kibana的配置文件也放在本地，通过文件映射的方式挂载到容器内。
总的目录结构如下：
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| $ tree
.
├── docker-compose.yml
├── kibana.yml
├── node1
│ └── es1.yml
├── node2
│ └── es2.yml
└── node3
└── es3.yml
3 directories, 5 files
|
编排文件
主要的编排文件是docker-compose.yml
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| version: "2.1"
services:
es-node1:
image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
hostname: es-node1
expose:
- "9001"
ports:
- "9200:9200"
- "9300:9300"
volumes:
- ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node1/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml
environment:
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
ulimits:
memlock:
soft: -1
hard: -1
networks:
es-cluster-network:
ipv4_address: 172.21.0.10
es-node2:
image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
hostname: es-node2
expose:
- "9002"
ports:
- "9201:9201"
- "9301:9301"
volumes:
- ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node2/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml
environment:
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
ulimits:
memlock:
soft: -1
hard: -1
networks:
es-cluster-network:
ipv4_address: 172.21.0.11
es-node3:
image: docker.elastic.co/elasticsearch/elasticsearch:6.7.0
hostname: es-node3
expose:
- "9003"
ports:
- "9202:9202"
- "9302:9302"
volumes:
- ~/Projects/sh-valley/docker-conf/elasticstack/cluster/node3/es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml
environment:
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
ulimits:
memlock:
soft: -1
hard: -1
networks:
es-cluster-network:
ipv4_address: 172.21.0.12
kibana:
image: docker.elastic.co/kibana/kibana:6.7.0
ports:
- "5601:5601"
volumes:
- ~/Projects/sh-valley/docker-conf/elasticstack/cluster/kibana.yml:/usr/share/kibana/config/kibana.yml
environment:
- ELASTICSEARCH_URL=http://es-node1:9200
networks:
- es-cluster-network
networks:
es-cluster-network:
driver: bridge
ipam:
driver: default
config:
- subnet: 172.21.0.0/16
gateway: 172.21.0.1
|
ES配置文件只选取了一个示例如下：
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| cluster.name: elasticsearch-cluster
node.name: es-node1
network.bind_host: 0.0.0.0
network.publish_host: 172.21.0.10
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["172.21.0.10:9300","172.21.0.11:9301","172.21.0.12:9302"]
discovery.zen.minimum_master_nodes: 2
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Kibana的配置文件如下
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| server.name: kibana
server.host: "0"
elasticsearch.hosts: [ "http://es-node1:9200", "http://es-node2:9201", "http://es-node3:9202" ]
xpack.monitoring.ui.container.elasticsearch.enabled: false
|
启动命令
配置文件准备好之后，就可以启动集群了
启动过程可能会比较慢，通过命令行可以看到集群节点
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| $ curl http://localhost:9200/_cat/nodes
172.21.0.12 51 96 29 6.53 6.43 3.72 md - es-node3
172.21.0.11 47 96 30 6.53 6.43 3.72 mdi - es-node2
172.21.0.10 49 96 30 6.53 6.43 3.72 mdi * es-node1
|
后续使用过程中可以通过docker-compose命令启动、停止服务，如果不想保留相关的实例，可以使用docker-compose down关闭并删除容器。
参考资料
- elasticsearch document
- docker-compose自定义网络，固定容器ip地址
- docker-compose ports和expose的区别
